22 citations · 27 across the 3 of their papers we have counts for
4 papers · 1 filter
Analysing Results from AI Benchmarks: Key Indicators and How to Obtain Them
Fernando Martínez-Plumed, José Hernández-Orallo
Item response theory (IRT) can be applied to the analysis of the evaluation of results from AI benchmarks. The two-parameter IRT model provides two indicators (difficulty and discr…
General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation
Lidia Contreras-Ochando, César Ferri, José Hernández-Orallo +3
Given one or two examples, humans are good at understanding how to solve a problem independently of its domain, because they are able to detect what the problem is and to choose th…
A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work
Enrique Fernández-Macías, Emilia Gómez, José Hernández-Orallo +4
This paper presents a multidisciplinary task approach for assessing the impact of artificial intelligence on the future of work. We provide definitions of a task from two main pers…
Forgetting and consolidation for incremental and cumulative knowledge acquisition systems
Fernando Martínez-Plumed, Cèsar Ferri, José Hernández-Orallo +1
The application of cognitive mechanisms to support knowledge acquisition is, from our point of view, crucial for making the resulting models coherent, efficient, credible, easy to…